scholarly journals Quality of care in Hunan Province nursing homes: relationship to staffing and organizational climate

2019 ◽  
Author(s):  
Hui Li ◽  
Yunxia Yang ◽  
Lily Dongxia XIAO ◽  
Wiley James A. ◽  
Huijing Chen ◽  
...  

Abstract Background: Confounding factors, such as staff characteristics and organizational features, are neglected in most studies when assessing the relationship between staffing levels and quality of care,and previous research provides inconsistent conclusions.The aim of this study wasto examine the quality of care perceived by nursing staff and its relationship with the staffing and organizational climate in nursing homes. Methods: A cross-sectional study was conducted. This study included 358 nursing staff from 52 units in 26 nursing homesin Hunan Province, China. Organizational climate was assessed with the Nursing Home adaptation Shortell scale and work stress scale. Staffing levels were studied by interviewing unit managers. Self-reported quality of care was measured with a single item. Results: The interaction effect between nursing staff to resident ratio and physician to resident ratio was significant on quality of care (p<0.05). Higher score on the relationships and communication scale (OR=4.771, p=0.002) and lower score on the work stress scale (OR=0.980, p=0.050) were also associated with better quality of care. More work experience was related to lower quality of care (OR=0.942, p=0.044), and work experience was associated with relationships and communication (Beta=0.115, p= 0.037) and work stress (Beta=0.234, p=0.000). Conclusions: Staffing level, work experience, work stress, relationships and communication are key factors to consider when the objective is to provide higher quality of care in nursing homes.

2021 ◽  
Vol 42 (2) ◽  
pp. 427-432
Author(s):  
Hui Li ◽  
Yunxia Yang ◽  
Lily Dongxia Xiao ◽  
James A. Wiley ◽  
Huijing Chen ◽  
...  

2021 ◽  
Vol 10 (3) ◽  
pp. e001434
Author(s):  
Katya Y J Sion ◽  
Johanna E R Rutten ◽  
Jan P H Hamers ◽  
Erica de Vries ◽  
Sandra M G Zwakhalen ◽  
...  

PurposeThe use of qualitative data to assess quality of care in nursing homes from the resident’s perspective has shown to be valuable, yet more research is needed to determine how this data can be used to gain insight into the quality of care within nursing homes. Whereas it is crucial to stay close to the stories that are the strength of qualitative data, an intermittent step to classify this data can support the interpretation and use. Therefore, this study introduces an approach that enables the use of narrative quality of care data to learn from and improve with.DesignA cross-sectional mixed-methods study in which qualitative data were collected with the narrative quality assessment method Connecting Conversations and interpreted for analysis.MethodsConnecting Conversations was used to collect narrative data about experienced quality of care in nursing homes according to residents, their families and nursing staff (triads). Data analysis consisted of coding positive/negative valences in each transcript.FindingsA stepwise approach can support the use of narrative quality data consisting of four steps: (1) perform and transcribe the conversations (listen); (2) calculate a valence sore, defined as the mean %-positive within a triad (look); (3) calculate an agreement score, defined as the level of agreement between resident-family-nursing staff (link); and (4) plot scores into a graph for interpretation and learning purposes with agreement score (x-axis) and valence score (y-axis) (learn).ConclusionsNarrative quality data can be interpreted as a valence and agreement score. These scores need to be related to the raw qualitative data to gain a rich understanding of what is going well and what needs to be improved.


2011 ◽  
Vol 51 (5) ◽  
pp. 610-616 ◽  
Author(s):  
K. Hyer ◽  
K. S. Thomas ◽  
L. G. Branch ◽  
J. S. Harman ◽  
C. E. Johnson ◽  
...  

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